results, we propose a machine learning methodology that takes text data as input and outputs a data-implied firm network. …

This paper contributes to model the industry interconnecting structure in a network context. General predictive model … interdependency networks. Empirical results show a denser network with heterogeneous central industries in tail cases. Network … out-of-sample forecast of portfolio returns and network centrality-based trading strategies seem to outperform market …